Update README.md

README.md

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       - data/subjective_questions_public_40.json
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-# ICBCBench dataset
 
-ICBCBench is a benchmark which aims at evaluating next-generation LLMs (LLMs with augmented capabilities due to added tooling, efficient prompting, access to search, etc.), containing questions that predominantly cover finance and politics.
+<h1 align="center">ICBCBench: An Industry Consortium Benchmark for Financial Deep Research</h1>
+
+<div align="center">
+<a href="https://arxiv.org/abs/2606.17458" target="_blank"><img src=https://img.shields.io/badge/arXiv-b5212f.svg?logo=arxiv></a>
+<a href="https://github.com/DeepFin-Intelligence/ICBCBench"><img alt="Github" src="https://img.shields.io/badge/GitHub-Repository-181717?logo=github&logoColor=white"></a>
+<a href="https://huggingface.co/spaces/DeepFin-Intelligence/ICBCBench-Leaderboard"><img alt="Leaderboard" src="https://img.shields.io/badge/🏆%20Leaderboard-yellow?color=FFD700"></a>
+</div>
+
+
+## Overview
+
+ICBCBench is an industry consortium benchmark for evaluating financial Deep Research Agents in real-world research scenarios. It consists of bilingual objective and subjective tasks across major financial sectors, including capital markets, banking, insurance, and related financial services. Developed with over 50 contributors from more than 40 financial and academic organizations, ICBCBench combines verifiable question answering with expert-aligned long-form report evaluation to assess retrieval–reasoning accuracy, factual grounding, citation reliability, and end-to-end report quality.
+
+ <p align="center">
+  <img src="./images/overview.png" alt="ICBCBench Overview" width="90%"/>
+</p>
+
 
 ## Data
 ICBCBench dataset consists of 120 questions with clear and unambiguous answers, covering both Chinese and English. It includes 40 subjective questions and 80 objective questions. The questions are primarily text-based, with a small number of multimodal examples. The dataset is divided into a public validation set and a test set with private answers and metadata.